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Eve 9810001M

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Title: Eve 9810001M


1
Data Analysis, Interpretation, and Reporting
  • Eve 9810001M
  • Sabrina 9810002M

2
Outline
  • Data Analytic Strategies
  • Six Steps in Qualitative Data Analysis
  • Grounded Theory Analysis Strategies
  • Interpretation Issues in Qualitative Data
    Analysis
  • Writing Research Reports
  • Ways of Conducting Reports

3
Data Analytic Strategies
  • Recursive analytic strategies
  • analyze cases generate findings
  • draw conclusion from grounded theory
    write report

4
  • Nine qualitative data analysis principles
  • 1. Collect the data in the field and study all
    the data carefully to find out similarities and
    difference, concepts and reflection.
  • 2. The data analysis can be stopped only with the
    emergence of regularities (Saturation and
    sufficiency of information).

5
  • 3. Accountability of information Keep notes or
    transcripts if readers or reviewers want to
    review the data analysis procedures and results.
  • 4. Divide the data into smaller , more meaning
    units related to your major points after reading
    them all.

6
  • 5. Organize the smaller units into categories
    (based on major points). The process is
    inductive.
  • 6. Use comparison to build and refine categories,
    define conceptual similarities, find negative
    evidence, and discover patterns.
  • Ex pro one pattern
  • con one pattern

7
  • 7. The categories are flexible and are modified
    as further data analysis occurs.
  • 8. Analyze negative cases to reflect their
    perspectives.
  • 9. Synthesize the patterns into the grounded
    theory.

8
  • (A) (B) (C) (B)
    (B) (C) (C)

Code
Code
Code
Code
Code
Code
Code
Categor1 (pro 1)
Category 2 (pro2)
Category 3 (pro3)
Category 4 (con1)
Pattern 2
Pattern 1
Grounded Theory
9
Suggestions
  • Should be
  • - connected with what is being discussed in
    the major points.
  • - exact excerpt used in the statement.
  • Should not be
  • - based on interviewers personal opinions.
  • - irrelevant to the major points.

10
Six Steps in Qualitative Data Analysis
  • 1. Give codes from the notes.
  • 2. Note personal reflections in the margin.
  • 3. Sort and sift the notes to identify similar
    and different relationships between patterns.

11
  • 4. Identify these patterns, similarities and
    differences.
  • 5. Elaborate a small set of generalizations that
    cover the consistencies.
  • 6. Examine those generalizations and form
    grounded theory.

12
Grounded Theory Analysis Strategies
  • Grounded theory
  • A process of constructing various data
  • Inductive process by collecting, analyzing and
    comparing data systematically.
  • Theory is grounded on data to explain the
    phenomena.
  • The main purpose is to develop theory through
    understanding concepts that are related by means
    of statements of relationships.

13
  • Recur by moving back and forth with the data,
    analyzing, collecting more data and analyzing
    some more until reaching conclusions.
  • An interactional method of theory building by
    comparing and analyzing the data.

14
  • Three steps in the grounded theory analytic
    process
  • 1. Open coding
  • Break data into small parts compare for
    similarities and differences explain the
    meanings of the data by focusing on who, when,
    where, what, how much, why (ask questions to get
    a clear story)

15
  • 2. Axial coding
  • After open coding, make connection (sort)
    between categories and confirm or disconfirm your
    hypotheses.
  • 3. Selective coding
  • Select the core category (match hypotheses)
    and explain the minor category (against
    hypotheses) with additional supporting data.

16
  • Coding process
  • Open coding
  • Axial coding
  • Select coding

17
Interpretation Issues in Qualitative Data Analysis
  • A. Triangulating Data
  • Use multiple methods and data sources to support
    the strength of interpretations and conclusion
  • Ex) semi-structured interviews, consent form,
    grounded theory

18
  • B. Audits
  • Questions to examine the data for interpretations
    and conclusion
  • 1. Is sampling appropriate to ground the
    findings?
  • 2. Are coding strategies applied correctly?
  • 3. Is the category process appropriate?
  • 4. Do the results link hypotheses? (examine
    literature review)
  • 5. Are the negative cases explained?
    (minoritys voice)

19
Suggestions
  • Four steps of negative case testing
  • 1. Make a rough hypothesis
  • 2. Conduct a thorough search
  • 3. Discard or reformulate hypothesis
  • 4. Examine all relevant cases

20
  • C. Cultural bias
  • Discuss cultural differences with different
    groups of participants
  • To see whether divergence is based on culturally
    different interpretations

21
  • D. Generalization
  • Not appropriate for qualitative research
  • Two perspectives for generalization
  • 1. Case-to-case translation
    (transferability)-
  • by providing thick description to apply
    to another setting
  • 2. Analytic generalization-
  • form a particular set of results to a
    broader theory
  • Ex) use deviant cases

22
Writing Research Reports
  • A. Introduction
  • B. Literature Review
  • C. Methodology
  • D. Results Tie the results to study purpose
    (hypotheses)
  • E. Discussions and Conclusion
  • Tie discussions to the literature
    recommendations for
  • practice limitations of the study

23
Ways of Conducting Reports
  • A. Quantitative reports
  • Report results by the use of tables and graphs
  • Avoid first-person pronoun
  • Use passive voice (It is shown / suggested that)

24
  • B. Qualitative reports
  • Look for a deep and valid description (narrative
    style)
  • Look for well-grounded theory
  • Seek contextual meaning by understanding
    demographic
  • information (different experiences)

25
  • Thank you for your attention.
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